Dynamic

Planning Poker vs T-Shirt Sizing

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment meets developers should use t-shirt sizing during sprint planning, backlog grooming, or project kickoffs to quickly gauge effort and complexity across multiple items, enabling better resource allocation and risk assessment. Here's our take.

🧊Nice Pick

Planning Poker

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment

Planning Poker

Nice Pick

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment

Pros

  • +It's particularly valuable in Scrum or other agile frameworks where relative sizing (e
  • +Related to: agile-methodology, scrum

Cons

  • -Specific tradeoffs depend on your use case

T-Shirt Sizing

Developers should use T-Shirt Sizing during sprint planning, backlog grooming, or project kickoffs to quickly gauge effort and complexity across multiple items, enabling better resource allocation and risk assessment

Pros

  • +It's ideal for fostering team collaboration, reducing estimation anxiety, and aligning stakeholders on priorities before diving into more detailed techniques like story points or hours
  • +Related to: agile-methodology, story-points

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use Planning Poker if: You want it's particularly valuable in scrum or other agile frameworks where relative sizing (e and can live with specific tradeoffs depend on your use case.

Use T-Shirt Sizing if: You prioritize it's ideal for fostering team collaboration, reducing estimation anxiety, and aligning stakeholders on priorities before diving into more detailed techniques like story points or hours over what Planning Poker offers.

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The Bottom Line
Planning Poker wins

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment

Disagree with our pick? nice@nicepick.dev